Introduction

R Markdown Presentation & Plotly Plots Brian Gue Sept 11, 2017

Data

The data is a subset of the ggplot2 sample diamonds dataset.

library(ggplot2)
data(diamonds)
d <- diamonds[sample(nrow(diamonds), 50), ]
summary(d)

##      carat               cut     color    clarity       depth      
##  Min.   :0.2300   Fair     : 2   D:6   SI2    :17   Min.   :58.20  
##  1st Qu.:0.4100   Good     : 3   E:7   SI1    :11   1st Qu.:60.75  
##  Median :0.7150   Very Good:15   F:8   VS2    :10   Median :61.60  
##  Mean   :0.8482   Premium  :12   G:7   VS1    : 6   Mean   :61.55  
##  3rd Qu.:1.0775   Ideal    :18   H:7   VVS2   : 4   3rd Qu.:62.70  
##  Max.   :2.4200                  I:9   I1     : 2   Max.   :64.50  
##                                  J:6   (Other): 0                  
##      table           price             x               y        
##  Min.   :55.00   Min.   :  455   Min.   :3.900   Min.   :3.950  
##  1st Qu.:56.00   1st Qu.:  964   1st Qu.:4.763   1st Qu.:4.753  
##  Median :57.00   Median : 2454   Median :5.775   Median :5.780  
##  Mean   :58.03   Mean   : 3455   Mean   :5.852   Mean   :5.842  
##  3rd Qu.:59.00   3rd Qu.: 4489   3rd Qu.:6.617   3rd Qu.:6.577  
##  Max.   :68.00   Max.   :16198   Max.   :8.850   Max.   :8.820  
##                                                                 
##        z        
##  Min.   :2.460  
##  1st Qu.:2.955  
##  Median :3.540  
##  Mean   :3.596  
##  3rd Qu.:4.050  
##  Max.   :5.170  
## 

d

## # A tibble: 50 x 10
##    carat       cut color clarity depth table price     x     y     z
##    <dbl>     <ord> <ord>   <ord> <dbl> <dbl> <int> <dbl> <dbl> <dbl>
##  1  2.03     Ideal     G     SI2  61.5    57 12154  8.15  8.07  4.99
##  2  1.02   Premium     D     SI2  62.8    55  5055  6.46  6.38  4.03
##  3  0.71 Very Good     E     SI2  62.7    59  2397  5.70  5.75  3.59
##  4  0.41     Ideal     J     VS1  62.7    57   830  4.75  4.72  2.97
##  5  1.50 Very Good     J     VS1  61.3    59  8662  7.36  7.41  4.53
##  6  0.41   Premium     E     VS1  60.7    59   964  4.77  4.79  2.90
##  7  0.41 Very Good     D     VS2  63.8    56   871  4.69  4.74  3.01
##  8  1.04     Ideal     H     SI2  60.5    57  3786  6.55  6.51  3.95
##  9  0.81   Premium     I     SI2  61.5    60  1786  5.94  5.90  3.64
## 10  1.35 Very Good     I     SI2  58.6    63  5579  7.28  7.19  4.24
## # ... with 40 more rows

Including Plots

Here’s a plot generated by plotly. With a few lines, we get hoverovers for both features of the dataset (prce, and carat).

on the chart, both color and size indicate carat.

library(plotly)

## 
## Attaching package: 'plotly'

## The following object is masked from 'package:ggplot2':
## 
##     last_plot

## The following object is masked from 'package:stats':
## 
##     filter

## The following object is masked from 'package:graphics':
## 
##     layout

p <- plot_ly(
  d, x = ~carat, y = ~price,
  # Hover text:
  text = ~paste("Price: ", price, '$<br>Cut:', cut),
  color = ~carat, size = ~carat
)

The Plot

## No trace type specified:
##   Based on info supplied, a 'scatter' trace seems appropriate.
##   Read more about this trace type -> https://plot.ly/r/reference/#scatter

## No scatter mode specifed:
##   Setting the mode to markers
##   Read more about this attribute -> https://plot.ly/r/reference/#scatter-mode